'Institute of Electrical and Electronics Engineers (IEEE)'
Abstract
How can we describe data when used as an art material? As the number of artists using data in their work increases, so too must our ability to describe the material in a way that is understood by both specialist and general audiences alike. In this paper we review existing vocabularies, glossaries, and taxonomies of data, and propose our own concise taxonomy. We present a number of examples of how existing data art works are described, and demonstrate our taxonomy by applying it to these works. To conclude we propose the adoption of this concise taxonomy by artists, critics, and curators, and suggest that on-going refinement of the taxonomy takes place through crowd-sourced knowledge sharing on the web
